Research And Application Of The Fuzzy Expert System In The Blast Furnace Temperature Forecast

In the blast furnace smelting process, maintain a reasonable temperature is stable operation of blast furnace production of one of the key factors. BF production process to proceed smoothly, still depends on the production people have accumulated experience. This mode of operation is difficult to completely satisfy BF stability with the requests, and therefore the help of modern science and computer technology, information technology and artificial intelligence techniques to improve blast furnace production level of automation has become the top priority.In this paper, the purpose of the study using the fuzzy expert system knowledge, blast furnace smelting experts sum up the experience, Data acquisition using OPC technology, based on the fuzzy expert system BF Temperature Forecast System.The main thesis research work related to blast furnace temperature forecast parameters, BF Temperature Forecast and fuzzy expert system considered, and in BF expert system research and development, BF process of data sources and collection methods the system is a prerequisite and an important part. The paper first blast furnace temperature changes through the mechanism of selecting the forecast temperature required parameters, then the fuzzy expert system knowledge of fuzzy, establish the fuzzy rule base, choice of Fuzzy Inference Engine and Defuzzifier for reconciliation. Use of automation OPC data transmission protocol blast furnace process data acquisition. In these foundations on the blast furnace temperature forecast fuzzy expert system analysis and design. Finally, the entire research paper on the work of summing up and Prospect.